Customer Purchasing Behavior Dataset

This dataset provides a detailed view of customer profiles and their purchasing behaviors, making it a valuable resource for market analysis and customer segmentation research. The dataset is structured to allow the exploration of key factors influencing purchasing patterns, regional preferences, and customer loyalty.

• customer_id: A unique identifier assigned to each customer.
• age: The age of the customer, which helps in age group segmentation and targeting.
• annual_income: The customer’s total annual income in USD, providing insight into purchasing power and spending habits.
• purchase_amount: The total monetary value of all purchases made by the customer, reflecting their overall engagement in purchasing activities.
• purchase_frequency: The number of times a customer makes a purchase each year, offering a clear indication of how regularly customers interact with the business.
• region: The geographic region where the customer resides (North, South, East, West), helping to identify location-based preferences and regional market trends.
• loyalty_score: A metric on a scale from 0 to 100, measuring the customer’s loyalty based on past behaviors, helping businesses target loyal customers and improve retention strategies.